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Zhuofan Xu, Jing Yan, Guoqing Sui, Yanze Wu, Meirong Qi, Zilong Zhang, Yingsan Geng and Jianhua Wang
High-voltage circuit breakers (HVCBs) handle the important tasks of controlling and safeguarding electricity networks. In the case of insufficient data samples, improving the accuracy of the traditional HVCB mechanical fault diagnosis method is difficult...
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Tao Wang, Lin Ding and Huahuang Yu
Currently, considerable efforts are being focused on the development of reusable rockets and smart rockets due to the heavy requirements of future next-generation aerospace transportation. Safety, low-launching cost, and repeatability are expected from l...
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Hannes Leipold, Federico M. Spedalieri and Eleanor Rieffel
The quantum alternating operator ansatz (QAOA) and constrained quantum annealing (CQA) restrict the evolution of a quantum system to remain in a constrained space, often with a dimension much smaller than the whole Hilbert space. A natural question when ...
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Anna Bryniarska
The paper presents a certain class of the mathematical models of diagnostic information granules describing the fuzzy symptoms-faults relationship. A certain fuzzy diagnostic information retrieval system is described as an application of an expert diagno...
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Viacheslav Kozitsin, Iurii Katser and Dmitry Lakontsev
Real-time diagnostics of complex technical systems such as power plants are critical to keep the system in its working state. An ideal diagnostic system must detect any fault in advance and predict the future state of the technical system, so predictive ...
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Juan Luis Pérez-Ruiz, Yu Tang and Igor Loboda
Considering the importance of continually improving the algorithms in aircraft engine diagnostic systems, the present paper proposes and benchmarks a gas-path monitoring and diagnostics framework through the Propulsion Diagnostic Methodology Evaluation S...
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Manh-Kien Tran and Michael Fowler
The usage of Lithium-ion (Li-ion) batteries has increased significantly in recent years due to their long lifespan, high energy density, high power density, and environmental benefits. However, various internal and external faults can occur during the ba...
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Rui Ding, Shunming Li, Jiantao Lu, Kun Xu and Jinrui Wang
In recent years, the method of deep learning has been widely used in the field of fault diagnosis of mechanical equipment due to its strong feature extraction and other advantages such as high efficiency, portability, and so on. However, at present, most...
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Yu Wang, Dejun Ning and Songlin Feng
In the prognostics health management (PHM) of rotating machinery, the accurate identification of bearing fault is critical. In recent years, various deep learning methods can well identify bearing fault based on monitoring data. However, facing changing ...
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Serhii Vladov, Yana Doludareva, Andrii Siora, Anatolii Ponomarenko, Anatolii Yanitskyi
Pág. 147 - 154
The subject matter of the article is TV3-117 aircraft engine and methods for control and diagnostics its technical condition. The goal of the work is the development of a neural network computer for recovering lost information from standard sensors of th...
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